mirror of
https://github.com/jdejaegh/irm-kmi-ha.git
synced 2025-06-27 11:39:26 +02:00
533 lines
24 KiB
Python
533 lines
24 KiB
Python
"""DataUpdateCoordinator for the IRM KMI integration."""
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import asyncio
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import logging
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from datetime import datetime, timedelta
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from statistics import mean
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from typing import Any, List, Tuple
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import async_timeout
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from homeassistant.components.weather import Forecast
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from homeassistant.config_entries import ConfigEntry
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from homeassistant.const import ATTR_LATITUDE, ATTR_LONGITUDE, CONF_ZONE
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from homeassistant.core import HomeAssistant
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from homeassistant.helpers import issue_registry
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from homeassistant.helpers.aiohttp_client import async_get_clientsession
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from homeassistant.helpers.device_registry import DeviceEntryType, DeviceInfo
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from homeassistant.helpers.update_coordinator import (
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TimestampDataUpdateCoordinator, UpdateFailed)
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from homeassistant.util import dt
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from homeassistant.util.dt import utcnow
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from .api import IrmKmiApiClient, IrmKmiApiError
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from .const import CONF_DARK_MODE, CONF_STYLE, DOMAIN, IRM_KMI_NAME
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from .const import IRM_KMI_TO_HA_CONDITION_MAP as CDT_MAP
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from .const import MAP_WARNING_ID_TO_SLUG as SLUG_MAP
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from .const import (OPTION_STYLE_SATELLITE, OUT_OF_BENELUX, STYLE_TO_PARAM_MAP,
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WEEKDAYS)
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from .data import (AnimationFrameData, CurrentWeatherData, IrmKmiForecast,
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IrmKmiRadarForecast, ProcessedCoordinatorData,
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RadarAnimationData, WarningData)
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from .pollen import PollenParser
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from .rain_graph import RainGraph
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from .utils import (disable_from_config, get_config_value, next_weekday,
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preferred_language)
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_LOGGER = logging.getLogger(__name__)
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class IrmKmiCoordinator(TimestampDataUpdateCoordinator):
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"""Coordinator to update data from IRM KMI"""
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def __init__(self, hass: HomeAssistant, entry: ConfigEntry):
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"""Initialize the coordinator."""
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super().__init__(
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hass,
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_LOGGER,
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# Name of the data. For logging purposes.
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name="IRM KMI weather",
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# Polling interval. Will only be polled if there are subscribers.
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update_interval=timedelta(minutes=7),
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)
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self._api_client = IrmKmiApiClient(session=async_get_clientsession(hass))
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self._zone = get_config_value(entry, CONF_ZONE)
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self._dark_mode = get_config_value(entry, CONF_DARK_MODE)
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self._style = get_config_value(entry, CONF_STYLE)
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self._config_entry = entry
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self.shared_device_info = DeviceInfo(
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entry_type=DeviceEntryType.SERVICE,
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identifiers={(DOMAIN, entry.entry_id)},
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manufacturer=IRM_KMI_NAME.get(preferred_language(self.hass, self._config_entry)),
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name=f"{entry.title}"
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)
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async def _async_update_data(self) -> ProcessedCoordinatorData:
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"""Fetch data from API endpoint.
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This is the place to pre-process the data to lookup tables
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so entities can quickly look up their data.
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"""
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if (zone := self.hass.states.get(self._zone)) is None:
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raise UpdateFailed(f"Zone '{self._zone}' not found")
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try:
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# Note: asyncio.TimeoutError and aiohttp.ClientError are already
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# handled by the data update coordinator.
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async with async_timeout.timeout(60):
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api_data = await self._api_client.get_forecasts_coord(
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{'lat': zone.attributes[ATTR_LATITUDE],
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'long': zone.attributes[ATTR_LONGITUDE]}
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)
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_LOGGER.debug(f"Observation for {api_data.get('cityName', '')}: {api_data.get('obs', '{}')}")
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_LOGGER.debug(f"Full data: {api_data}")
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except IrmKmiApiError as err:
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if self.last_update_success_time is not None \
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and self.last_update_success_time - utcnow() < 2.5 * self.update_interval:
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_LOGGER.warning(f"Error communicating with API for general forecast: {err}. Keeping the old data.")
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return self.data
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else:
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raise UpdateFailed(f"Error communicating with API for general forecast: {err}. "
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f"Last success time is: {self.last_update_success_time}")
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if api_data.get('cityName', None) in OUT_OF_BENELUX:
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_LOGGER.error(f"The zone {self._zone} is now out of Benelux and forecast is only available in Benelux."
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f"Associated device is now disabled. Move the zone back in Benelux and re-enable to fix "
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f"this")
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disable_from_config(self.hass, self._config_entry)
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issue_registry.async_create_issue(
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self.hass,
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DOMAIN,
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"zone_moved",
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is_fixable=True,
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severity=issue_registry.IssueSeverity.ERROR,
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translation_key='zone_moved',
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data={'config_entry_id': self._config_entry.entry_id, 'zone': self._zone},
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translation_placeholders={'zone': self._zone}
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)
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return ProcessedCoordinatorData()
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return await self.process_api_data(api_data)
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async def async_refresh(self) -> None:
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"""Refresh data and log errors."""
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await self._async_refresh(log_failures=True, raise_on_entry_error=True)
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async def _async_animation_data(self, api_data: dict) -> RadarAnimationData:
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"""From the API data passed in, call the API to get all the images and create the radar animation data object.
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Frames from the API are merged with the background map and the location marker to create each frame."""
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animation_data = api_data.get('animation', {}).get('sequence')
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localisation_layer_url = api_data.get('animation', {}).get('localisationLayer')
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country = api_data.get('country', '')
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if animation_data is None or localisation_layer_url is None or not isinstance(animation_data, list):
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return RadarAnimationData()
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try:
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images_from_api = await self.download_images_from_api(animation_data, country, localisation_layer_url)
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except IrmKmiApiError as err:
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_LOGGER.warning(f"Could not get images for weather radar: {err}. Keep the existing radar data.")
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return self.data.get('animation', RadarAnimationData()) if self.data is not None else RadarAnimationData()
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localisation = images_from_api[0]
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images_from_api = images_from_api[1:]
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lang = preferred_language(self.hass, self._config_entry)
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radar_animation = RadarAnimationData(
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hint=api_data.get('animation', {}).get('sequenceHint', {}).get(lang),
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unit=api_data.get('animation', {}).get('unit', {}).get(lang),
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location=localisation
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)
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rain_graph = await self.create_rain_graph(radar_animation, animation_data, country, images_from_api)
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print(rain_graph)
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radar_animation['svg_animated'] = rain_graph.get_svg_string()
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radar_animation['svg_still'] = rain_graph.get_svg_string(still_image=True)
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return radar_animation
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async def _async_pollen_data(self, api_data: dict) -> dict:
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"""Get SVG pollen info from the API, return the pollen data dict"""
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_LOGGER.debug("Getting pollen data from API")
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svg_url = None
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for module in api_data.get('module', []):
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_LOGGER.debug(f"module: {module}")
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if module.get('type', None) == 'svg':
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url = module.get('data', {}).get('url', {}).get('en', '')
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if 'pollen' in url:
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svg_url = url
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break
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if svg_url is None:
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return PollenParser.get_default_data()
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try:
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_LOGGER.debug(f"Requesting pollen SVG at url {svg_url}")
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pollen_svg: str = await self._api_client.get_svg(svg_url)
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except IrmKmiApiError as err:
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_LOGGER.warning(f"Could not get pollen data from the API: {err}. Keeping the same data.")
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return self.data.get('pollen', PollenParser.get_unavailable_data()) \
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if self.data is not None else PollenParser.get_unavailable_data()
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return PollenParser(pollen_svg).get_pollen_data()
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async def process_api_data(self, api_data: dict) -> ProcessedCoordinatorData:
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"""From the API data, create the object that will be used in the entities"""
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return ProcessedCoordinatorData(
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current_weather=await IrmKmiCoordinator.current_weather_from_data(api_data),
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daily_forecast=await self.daily_list_to_forecast(api_data.get('for', {}).get('daily')),
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hourly_forecast=await IrmKmiCoordinator.hourly_list_to_forecast(api_data.get('for', {}).get('hourly')),
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radar_forecast=IrmKmiCoordinator.radar_list_to_forecast(api_data.get('animation', {})),
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animation=await self._async_animation_data(api_data=api_data),
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warnings=self.warnings_from_data(api_data.get('for', {}).get('warning')),
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pollen=await self._async_pollen_data(api_data=api_data),
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country=api_data.get('country')
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)
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async def download_images_from_api(self,
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animation_data: list,
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country: str,
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localisation_layer_url: str) -> tuple[Any]:
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"""Download a batch of images to create the radar frames."""
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coroutines = list()
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coroutines.append(
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self._api_client.get_image(localisation_layer_url,
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params={'th': 'd' if country == 'NL' or not self._dark_mode else 'n'}))
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for frame in animation_data:
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if frame.get('uri', None) is not None:
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coroutines.append(
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self._api_client.get_image(frame.get('uri'), params={'rs': STYLE_TO_PARAM_MAP[self._style]}))
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async with async_timeout.timeout(60):
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images_from_api = await asyncio.gather(*coroutines)
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_LOGGER.debug(f"Just downloaded {len(images_from_api)} images")
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return images_from_api
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@staticmethod
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async def current_weather_from_data(api_data: dict) -> CurrentWeatherData:
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"""Parse the API data to build a CurrentWeatherData."""
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# Process data to get current hour forecast
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now_hourly = None
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hourly_forecast_data = api_data.get('for', {}).get('hourly')
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tz = await dt.async_get_time_zone('Europe/Brussels')
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now = dt.now(time_zone=tz)
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if not (hourly_forecast_data is None
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or not isinstance(hourly_forecast_data, list)
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or len(hourly_forecast_data) == 0):
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for current in hourly_forecast_data[:2]:
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if now.strftime('%H') == current['hour']:
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now_hourly = current
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break
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# Get UV index
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module_data = api_data.get('module', None)
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uv_index = None
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if not (module_data is None or not isinstance(module_data, list)):
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for module in module_data:
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if module.get('type', None) == 'uv':
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uv_index = module.get('data', {}).get('levelValue')
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try:
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pressure = float(now_hourly.get('pressure', None)) if now_hourly is not None else None
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except (TypeError, ValueError):
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pressure = None
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try:
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wind_speed = float(now_hourly.get('windSpeedKm', None)) if now_hourly is not None else None
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except (TypeError, ValueError):
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wind_speed = None
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try:
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wind_gust_speed = float(now_hourly.get('windPeakSpeedKm', None)) if now_hourly is not None else None
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except (TypeError, ValueError):
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wind_gust_speed = None
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try:
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temperature = float(api_data.get('obs', {}).get('temp'))
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except (TypeError, ValueError):
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temperature = None
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try:
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dir_cardinal = now_hourly.get('windDirectionText', {}).get('en') if now_hourly is not None else None
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if dir_cardinal == 'VAR' or now_hourly is None:
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wind_bearing = None
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else:
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wind_bearing = (float(now_hourly.get('windDirection')) + 180) % 360
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except (TypeError, ValueError):
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wind_bearing = None
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current_weather = CurrentWeatherData(
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condition=CDT_MAP.get((api_data.get('obs', {}).get('ww'), api_data.get('obs', {}).get('dayNight')), None),
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temperature=temperature,
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wind_speed=wind_speed,
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wind_gust_speed=wind_gust_speed,
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wind_bearing=wind_bearing,
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pressure=pressure,
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uv_index=uv_index
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)
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if api_data.get('country', '') == 'NL':
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current_weather['wind_speed'] = api_data.get('obs', {}).get('windSpeedKm')
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if api_data.get('obs', {}).get('windDirectionText', {}).get('en') == 'VAR':
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current_weather['wind_bearing'] = None
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else:
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try:
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current_weather['wind_bearing'] = (float(api_data.get('obs', {}).get('windDirection')) + 180) % 360
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except ValueError:
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current_weather['wind_bearing'] = None
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# Since June 2024, the NL weather does not include the condition in the 'ww' key, so we get it from the current
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# hourly forecast instead if it is missing
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if current_weather['condition'] is None:
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try:
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current_weather['condition'] = CDT_MAP.get((int(now_hourly.get('ww')), now_hourly.get('dayNight')))
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except (TypeError, ValueError):
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current_weather['condition'] = None
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return current_weather
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@staticmethod
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async def hourly_list_to_forecast(data: List[dict] | None) -> List[Forecast] | None:
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"""Parse data from the API to create a list of hourly forecasts"""
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if data is None or not isinstance(data, list) or len(data) == 0:
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return None
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forecasts = list()
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tz = await dt.async_get_time_zone('Europe/Brussels')
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day = dt.now(time_zone=tz).replace(hour=0, minute=0, second=0, microsecond=0)
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for idx, f in enumerate(data):
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if 'dateShow' in f and idx > 0:
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day = day + timedelta(days=1)
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hour = f.get('hour', None)
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if hour is None:
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continue
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day = day.replace(hour=int(hour))
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precipitation_probability = None
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if f.get('precipChance', None) is not None:
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precipitation_probability = int(f.get('precipChance'))
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ww = None
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if f.get('ww', None) is not None:
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ww = int(f.get('ww'))
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wind_bearing = None
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if f.get('windDirectionText', {}).get('en') != 'VAR':
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try:
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wind_bearing = (float(f.get('windDirection')) + 180) % 360
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except (TypeError, ValueError):
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pass
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forecast = Forecast(
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datetime=day.isoformat(),
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condition=CDT_MAP.get((ww, f.get('dayNight', None)), None),
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native_precipitation=f.get('precipQuantity', None),
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native_temperature=f.get('temp', None),
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native_templow=None,
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native_wind_gust_speed=f.get('windPeakSpeedKm', None),
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native_wind_speed=f.get('windSpeedKm', None),
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precipitation_probability=precipitation_probability,
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wind_bearing=wind_bearing,
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native_pressure=f.get('pressure', None),
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is_daytime=f.get('dayNight', None) == 'd'
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)
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forecasts.append(forecast)
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return forecasts
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@staticmethod
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def radar_list_to_forecast(data: dict | None) -> List[IrmKmiRadarForecast] | None:
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"""Create a list of short term forecasts for rain based on the data provided by the rain radar"""
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if data is None:
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return None
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sequence = data.get("sequence", [])
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ratios = [f['value'] / f['position'] for f in sequence if f['position'] > 0]
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if len(ratios) > 0:
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ratio = mean(ratios)
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else:
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ratio = 0
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forecast = list()
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for f in sequence:
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forecast.append(
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IrmKmiRadarForecast(
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datetime=f.get("time"),
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native_precipitation=f.get('value'),
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rain_forecast_max=round(f.get('positionHigher') * ratio, 2),
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rain_forecast_min=round(f.get('positionLower') * ratio, 2),
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might_rain=f.get('positionHigher') > 0
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)
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)
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return forecast
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async def daily_list_to_forecast(self, data: List[dict] | None) -> List[IrmKmiForecast] | None:
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"""Parse data from the API to create a list of daily forecasts"""
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if data is None or not isinstance(data, list) or len(data) == 0:
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return None
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forecasts = list()
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lang = preferred_language(self.hass, self._config_entry)
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tz = await dt.async_get_time_zone('Europe/Brussels')
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forecast_day = dt.now(tz)
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for (idx, f) in enumerate(data):
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precipitation = None
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if f.get('precipQuantity', None) is not None:
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try:
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precipitation = float(f.get('precipQuantity'))
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except (TypeError, ValueError):
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pass
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native_wind_gust_speed = None
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if f.get('wind', {}).get('peakSpeed') is not None:
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try:
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native_wind_gust_speed = int(f.get('wind', {}).get('peakSpeed'))
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except (TypeError, ValueError):
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pass
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wind_bearing = None
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if f.get('wind', {}).get('dirText', {}).get('en') != 'VAR':
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try:
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wind_bearing = (float(f.get('wind', {}).get('dir')) + 180) % 360
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except (TypeError, ValueError):
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pass
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is_daytime = f.get('dayNight', None) == 'd'
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day_name = f.get('dayName', {}).get('en', None)
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timestamp = f.get('timestamp', None)
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if timestamp is not None:
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forecast_day = datetime.fromisoformat(timestamp)
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elif day_name in WEEKDAYS:
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forecast_day = next_weekday(forecast_day, WEEKDAYS.index(day_name))
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elif day_name in ['Today', 'Tonight']:
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forecast_day = dt.now(tz)
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elif day_name == 'Tomorrow':
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forecast_day = dt.now(tz) + timedelta(days=1)
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sunrise_sec = f.get('dawnRiseSeconds', None)
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if sunrise_sec is None:
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sunrise_sec = f.get('sunRise', None)
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sunrise = None
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if sunrise_sec is not None:
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try:
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sunrise = (forecast_day.replace(hour=0, minute=0, second=0, microsecond=0, tzinfo=tz)
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+ timedelta(seconds=float(sunrise_sec)))
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except (TypeError, ValueError):
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pass
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sunset_sec = f.get('dawnSetSeconds', None)
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if sunset_sec is None:
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sunset_sec = f.get('sunSet', None)
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sunset = None
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if sunset_sec is not None:
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try:
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sunset = (forecast_day.replace(hour=0, minute=0, second=0, microsecond=0, tzinfo=tz)
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+ timedelta(seconds=float(sunset_sec)))
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except (TypeError, ValueError):
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pass
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forecast = IrmKmiForecast(
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datetime=(forecast_day.strftime('%Y-%m-%d')),
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condition=CDT_MAP.get((f.get('ww1', None), f.get('dayNight', None)), None),
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native_precipitation=precipitation,
|
|
native_temperature=f.get('tempMax', None),
|
|
native_templow=f.get('tempMin', None),
|
|
native_wind_gust_speed=native_wind_gust_speed,
|
|
native_wind_speed=f.get('wind', {}).get('speed'),
|
|
precipitation_probability=f.get('precipChance', None),
|
|
wind_bearing=wind_bearing,
|
|
is_daytime=is_daytime,
|
|
text=f.get('text', {}).get(lang, ""),
|
|
sunrise=sunrise,
|
|
sunset=sunset
|
|
)
|
|
# Swap temperature and templow if needed
|
|
if (forecast['native_templow'] is not None
|
|
and forecast['native_temperature'] is not None
|
|
and forecast['native_templow'] > forecast['native_temperature']):
|
|
(forecast['native_templow'], forecast['native_temperature']) = \
|
|
(forecast['native_temperature'], forecast['native_templow'])
|
|
|
|
forecasts.append(forecast)
|
|
|
|
return forecasts
|
|
|
|
async def create_rain_graph(self,
|
|
radar_animation: RadarAnimationData,
|
|
api_animation_data: List[dict],
|
|
country: str,
|
|
images_from_api: Tuple[bytes],
|
|
) -> RainGraph:
|
|
"""Create a RainGraph object that is ready to output animated and still SVG images"""
|
|
sequence: List[AnimationFrameData] = list()
|
|
|
|
tz = await dt.async_get_time_zone(self.hass.config.time_zone)
|
|
current_time = dt.now(time_zone=tz)
|
|
most_recent_frame = None
|
|
|
|
for idx, item in enumerate(api_animation_data):
|
|
frame = AnimationFrameData(
|
|
image=images_from_api[idx],
|
|
time=datetime.fromisoformat(item.get('time')) if item.get('time', None) is not None else None,
|
|
value=item.get('value', 0),
|
|
position=item.get('position', 0),
|
|
position_lower=item.get('positionLower', 0),
|
|
position_higher=item.get('positionHigher', 0)
|
|
)
|
|
sequence.append(frame)
|
|
|
|
if most_recent_frame is None and current_time < frame['time']:
|
|
most_recent_frame = idx - 1 if idx > 0 else idx
|
|
|
|
radar_animation['sequence'] = sequence
|
|
radar_animation['most_recent_image_idx'] = most_recent_frame
|
|
|
|
satellite_mode = self._style == OPTION_STYLE_SATELLITE
|
|
|
|
if country == 'NL':
|
|
image_path = "custom_components/irm_kmi/resources/nl.png"
|
|
bg_size = (640, 600)
|
|
else:
|
|
image_path = (f"custom_components/irm_kmi/resources/be_"
|
|
f"{'satellite' if satellite_mode else 'black' if self._dark_mode else 'white'}.png")
|
|
bg_size = (640, 490)
|
|
|
|
return await RainGraph(radar_animation, image_path, bg_size, tz=tz, config_dir=self.hass.config.config_dir,
|
|
dark_mode=self._dark_mode).build()
|
|
|
|
def warnings_from_data(self, warning_data: list | None) -> List[WarningData]:
|
|
"""Create a list of warning data instances based on the api data"""
|
|
if warning_data is None or not isinstance(warning_data, list) or len(warning_data) == 0:
|
|
return []
|
|
|
|
lang = preferred_language(self.hass, self._config_entry)
|
|
result = list()
|
|
for data in warning_data:
|
|
try:
|
|
warning_id = int(data.get('warningType', {}).get('id'))
|
|
start = datetime.fromisoformat(data.get('fromTimestamp', None))
|
|
end = datetime.fromisoformat(data.get('toTimestamp', None))
|
|
except (TypeError, ValueError):
|
|
# Without this data, the warning is useless
|
|
continue
|
|
|
|
try:
|
|
level = int(data.get('warningLevel'))
|
|
except TypeError:
|
|
level = None
|
|
|
|
result.append(
|
|
WarningData(
|
|
slug=SLUG_MAP.get(warning_id, 'unknown'),
|
|
id=warning_id,
|
|
level=level,
|
|
friendly_name=data.get('warningType', {}).get('name', {}).get(lang, ''),
|
|
text=data.get('text', {}).get(lang, ''),
|
|
starts_at=start,
|
|
ends_at=end
|
|
)
|
|
)
|
|
|
|
return result if len(result) > 0 else []
|